Branch banking usage decreased overall between 2019 and 2024 but remained relatively high among bank account holders in the United States. According to Statista's Consumer Insights, the share of bank account holders who processed banking matters in person in a branch was 45 percent in the fourth quarter of 2024, eight percentage points less than in the first half of 2019. Branch banking usage dropped rather notably in 2019 and 2020 but remained stable since then. While the popularity of branch banking dropped, mobile banking usage increased during the same period.

The Financial Services Commission provides general status of foreign bank branches, financial status of foreign bank branches, and major management indicators of foreign bank branches by inquiring title, base year, etc._Financial statistics Foreign bank branch information

In 2023, Honduras was the Latin American country with the largest bank branches density. Guatemala and the Dominican Republic followed, with ** and ** bank branches per 100,000 adults, respectively. In contrast, El Salvador and Peru had ***** and *** bank branches per 100,000 adults.

About this dataset

Context

The dataset tabulates the population of Village Of The Branch by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Village Of The Branch. The dataset can be utilized to understand the population distribution of Village Of The Branch by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Village Of The Branch. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Village Of The Branch.

Key observations

Largest age group (population): Male # 55-59 years (112) | Female # 55-59 years (142). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Village Of The Branch population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Village Of The Branch is shown in the following column.
• Population (Female): The female population in the Village Of The Branch is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Village Of The Branch for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Village Of The Branch Population by Gender. You can refer the same here

Italy Branch Network: Number of Banks data was reported at 485.000 Number in 2019. This records a decrease from the previous number of 505.000 Number for 2018. Italy Branch Network: Number of Banks data is updated yearly, averaging 785.500 Number from Dec 1996 (Median) to 2019, with 24 observations. The data reached an all-time high of 938.000 Number in 1996 and a record low of 485.000 Number in 2019. Italy Branch Network: Number of Banks data remains active status in CEIC and is reported by Bank of Italy. The data is categorized under Global Database’s Italy – Table IT.KB034: Branch Network Statistics by Region.

Italy Branch Network: Islands: Number of Banks data was reported at 26.000 Unit in 2019. This records a decrease from the previous number of 27.000 Unit for 2018. Italy Branch Network: Islands: Number of Banks data is updated yearly, averaging 34.000 Unit from Dec 2009 (Median) to 2019, with 11 observations. The data reached an all-time high of 42.000 Unit in 2009 and a record low of 26.000 Unit in 2019. Italy Branch Network: Islands: Number of Banks data remains active status in CEIC and is reported by Bank of Italy. The data is categorized under Global Database’s Italy – Table IT.KB034: Branch Network Statistics by Region.

About this dataset

Context

The dataset tabulates the population of West Branch by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for West Branch. The dataset can be utilized to understand the population distribution of West Branch by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in West Branch. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for West Branch.

Key observations

Largest age group (population): Male # 10-14 years (143) | Female # 5-9 years (121). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the West Branch population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the West Branch is shown in the following column.
• Population (Female): The female population in the West Branch is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in West Branch for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for West Branch Population by Gender. You can refer the same here

Overall rate variation, rate variation between depths, and rate variation between clades, were calculated from rates estimated in Bayesian and Maximum Likelihood (ML) frameworks for 100 simulated datasets for trees with branch lengths of 0.01 – 1.4 substitutions/site. Estimated rate variation expected due to the Poisson process was calculated as (μ+2σ)/(μ−2σ). Each dataset was tested for rejection of the molecular clock using Bayes factor comparisons for Bayesian analyses with and without the clock enforced, and a likelihood ratio test for ML analyses.

The number of financial institutions engaging in foreign exchange operations, buying and selling of foreign currency cash, and traveler's check services.

Pending situation of each sub-bureau (by type)....

Branch banking usage in the United Kingdom (UK) decreased notably between 2019 and 2025, though remained relatively stable between 2021 and 2025. According to Statista's Consumer Insights, the share of bank account holders who processed banking affairs in person in a branch dropped from ** percent in 2019 to ** percent by the end of 2021, then stood at ** percent until the first quarter of 2025. Branch banking usage was significantly higher in the U.S. during the same period, where almost half of all respondents still processed banking matters in person in 2025.

CTA OPERATION: Population and employment. Employment by branches. Quarterly. National.

Graph and download economic data for Geographical Outreach: Key Indicators Commercial Bank Branches Per 1000 Km2 for United States (USAFCBODCKNUM) from 2004 to 2023 about branches, banks, depository institutions, and USA.

Statistics on Affiliates of Foreign Companies in Spain: Main variables by activity branch. Value and percentage of total companies. Annual. National.

Statistics on Affiliates of Spanish Companies Abroad: Results by branch of activity and main variables. National.

From 2008 to 2024, the number of bank branches operating across the European Union declined steadily. By 2024, the total had fallen to 106,571 - representing a reduction of over 100,000 branches since the 2008 peak. The most pronounced drop occurred in 2023, following the COVID-19 pandemic. This ongoing decline underscores a broader shift toward digital banking and a diminishing reliance on physical banking infrastructure throughout Europe.

2022-23 Health Protection Section Branch Statistics

Italy Branch Network: Number of Branches data was reported at 24,311.000 Number in 2019. This records a decrease from the previous number of 25,409.000 Number for 2018. Italy Branch Network: Number of Branches data is updated yearly, averaging 30,380.000 Number from Dec 1996 (Median) to 2019, with 24 observations. The data reached an all-time high of 34,139.000 Number in 2008 and a record low of 24,311.000 Number in 2019. Italy Branch Network: Number of Branches data remains active status in CEIC and is reported by Bank of Italy. The data is categorized under Global Database’s Italy – Table IT.KB034: Branch Network Statistics by Region.

About this dataset

Context

The dataset tabulates the population of North Branch by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of North Branch across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 55.13% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the North Branch is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of North Branch total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for North Branch Population by Race & Ethnicity. You can refer the same here

Financial overview and grant giving statistics of Branch Adventures